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Statistical Analysis Methodology

Journal Article

Impact of the Choice of Risk Model for Identifying Low-risk Patients Using the 2014 American College of Cardiology/American Heart Association Perioperative Guidelines

The aim of this study is to determine how often three risk-prediction tools agree on the classification of patients as low risk (less than 1%) of major adverse cardiac event.

Jan 20, 2021
Tool

Quantifying the Bias Due to Observed Individual Confounders in Causal Treatment Effect Estimates: A Tutorial for the Selection Bias Decomposition (SBdecomp) Package

In this tool, the authors explain the methodology behind the primary function of the selection bias decomposition (SBdecomp) package; describe its features, syntax and how to implement the function; and illustrate its use with an example.

Dec 29, 2020
Journal Article

Exploring the Application of Machine Learning for Downscaling Climate Projections

In this proof-of-concept study, datasets derived from both observations and climate models were used together to train and test statistical methods to downscale.

Dec 22, 2020
Journal Article

Valid Inference in Single-Firm, Single-Event Studies

This paper concerns single-firm event studies, which are especially important in the context of securities litigation. Event studies can be used to address directly the materiality and loss causation elements.

Dec 11, 2020
Tool

Toolkit for Weighting and Analysis of Nonequivalent Groups: A Tutorial on the TWANG Shiny Application for Three or More Treatment Groups

This tutorial describes how to use a menu-driven Shiny application based on the Toolkit for Weighting and Analysis of Nonequivalent Groups (TWANG) R package.

Nov 24, 2020
Journal Article

Evaluation of Longitudinal Surrogate Markers

In this paper, we propose a model-free definition for the proportion of the treatment effect on the primary outcome that is explained by the treatment effect on the longitudinal surrogate markers.

Aug 4, 2020
Journal Article

Linking Statistics with Testing Policy to Manage COVID-19 in the Community

Monitoring the evolution of the pandemic in our society is crucial. This discussion highlights some very important principles of statistical sampling that are relevant to formulating policy.

Aug 4, 2020
Journal Article

The State of the Science in Opioid Policy Research

The rigor of study design varies notably across policy categories, highlighting the need for broader adoption of rigorous methods in opioid policy research.

Jul 7, 2020
Tool

Toolkit for Weighting and Analysis of Nonequivalent Groups: A Tutorial on the TWANG Shiny App for Two Treatments

This tutorial describes how to use a menu-driven Shiny app based on the Toolkit for Weighting and Analysis of Nonequivalent Groups (TWANG) R package. It can be used to estimate propensity score weights and treatment effects for binary treatments.

Jun 30, 2020
Q&A

Modeling the Future of COVID-19: Q&A with RAND Experts

The phrase “flatten the curve” familiarized Americans with epidemiological models used to estimate virus transmission, cases, and potential deaths from COVID-19. But new models are needed as the country enters a different stage of the crisis.

May 26, 2020
Multimedia

Epidemiological Models and COVID-19

In this Call with the Experts podcast, RAND researchers say new epidemiological models are needed as the country enters a different stage of the COVID-19 crisis, one in which changed behaviors must be taken into account.

May 21, 2020
Report

Modeling the Impact of Border-Enforcement Measures

This report offers insights into effects of surveillance technology on border outcomes. The underlying research demonstrated the promise and limits of quasi-experimental statistical methods for evaluating the impact of border-enforcement measures.

May 7, 2020
Commentary

Don't Make the Pandemic Worse with Poor Data Analysis

The need for immediate answers in the face of severe public health and economic distress may create a temptation to relax statistical standards. But urgency should not preclude expert analysis and honest assessments of uncertainty. Mistaken assumptions could lead to counterproductive actions.

May 6, 2020
Multimedia

State-of-the-Art Strategies for Addressing Selection Bias When Comparing Two or More Treatment Groups

This course introduces causal modeling using the potential outcomes framework and propensity score weights to estimate causal effects from observational data.

May 1, 2020
News Release

RAND Report Examines Ways to Compare the U.S. Army's Suicide Rate with the General U.S. Population

The U.S. Army should use an expanded set of demographic factors when comparing suicide rates to those in the general population to get a more accurate comparison.

Mar 13, 2020
Report

Comparing the Army's Suicide Rate to the General Population's

The U.S. Army has typically compared its suicide rate with that of the general population while adjusting for age, gender, and yearly differences. But there are additional factors related to suicide that should be considered: race/ethnicity, educational attainment, and marital status.

Mar 10, 2020
Journal Article

Optimally Balanced Gaussian Process Propensity Scores for Estimating Treatment Effects

This paper introduces a new approach to estimating the propensity score using Gaussian processes and optimizing hyperparameters with respect to covariate balance.

Sep 19, 2019
Report

Measuring Health Care Utilization in Medicare Advantage Encounter Data: Methods, Estimates, and Considerations for Research

This report describes methodologies, estimates, and technical considerations related to measuring health care utilization in Medicare Part C encounter data.

Jul 25, 2019
Report

Tool Created to Help Multinational Companies Assess Risk of Bribery When Doing Business in Foreign Countries

Corruption can hinder global business investment — particularly in emerging markets — but multinational companies often have difficulty assessing the business bribery risk in other countries. A new tool, called the TRACE Matrix, can help.

May 13, 2019
Report

Evaluating Methods to Estimate the Effect of State Laws on Firearm Deaths: A Simulation Study

As part of the RAND Corporation's Gun Policy in America initiative, the authors use simulations to assess the performance of a wide range of statistical models used to estimate the effects of state gun policies on firearm deaths.

Dec 10, 2018

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RAND Topic:
Statistical Analysis Methodology

Topic Synonyms:
Statistical Modeling